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research. LanguagesENGLISHLevelExcellent Research FieldEconomics Additional Information Selection process Candidates should apply via https://www.cemfi.es/forms-cemfi/jobmarket/jobmarket_offers.asp by March
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rupture, which is one cause of a stroke and thus the prediction of plaque rupture is very relevant. The steps in the development of surrogate models are building data-driven models from medical imaging
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contribute to an interdisciplinary collaboration focused on building construction to improve affordability, productivity, energy efficiency, and resilience. The candidate will be part of the UT-Oak Ridge
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this limitation in the use of satellite observations by make a direct use of radiance observations retrieved by satellites using machine learning without the need of radiative transfer calculations. The new model
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) as a user facility for the U.S. Department of Energy Office of Science (DOE-SC), supporting the mission of the DOE-SC Office of Nuclear Physics. FRIB provides researchers with one of the most advanced
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Your Job: Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets Integrate ontologies and metadata (e.g., tissue, cell
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to neural population coding. As a starting point, we will build upon recent advances in graph neural networks (GNNs), particularly those described by which offer a promising architecture for modelling
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Work Where You Learn: Build Experience, Grow Skills, and Contribute to Your University Community. This position is available only to enrolled American University students. Important guidance
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initiatives are methodologically robust, inclusive, and impactful. This expert-driven initiative builds on over 30 years of CTN’s experience in providing methodological and statistical support, now expanding to
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physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic environments Design and implement reinforcement learning algorithms for control and